ODSMO

ODSMO — CS2 Stats

SE76561198004277049[U:1:44011321]Steam profile ↗VAC banned

1,761Tracked matches48%Win rate2020Tracked since
2,827Hours in CS22Hrs last 2 wks
CSDB Rating6.8 SolidSupport
FaceitLevel 10 · 2,030 ELOTop 12.4% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Sep 2026 (54 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,030 → 2,030
+103Tracked matches · now 1,761
+8.3ppWin rate · 40.0% → 48.3%

Rating over time

Faceit ELO: 2,030 +0 1 Sept – 10 Sept · 3 observations
2,0302,030peak 2,0301 Sept10 Sept
2,030Highest Faceit ELO seen on CSDB
35Days played since 2026-06-22

Faceit ELO

  • At peak — 2,030
  • Next: 2,500 ELO at 2,500 — 470 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-01
  • Level 9 first seen 2026-09-01

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 10 median
Headshot rate37.5%50.9%
Shot accuracy12.9%13.7%
Kill/death ratio0.961.09
Match win rate39.8%48.4%

Share this profile

CSDB.GGODSMOFACEITLevel 10 · 2,030 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,030csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim84
Positioning62
Utility75

0–100 skill scores via Leetify.

Recent form

STEADY45–54–1Last 10045%Win rateLWLWLWLLWW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −0.9pp headshot accuracy · +3ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 475ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 466ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 465ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+2.2 against its own average).

Aim8.4
Utility7.5
Positioning6.2
Opening Duels4.4
Clutch3.2

Strong CT-side openerHigh utility contribution

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

ZywOo

Plays most like ZywOo 90% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 59% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim8.4
Positioning6.2
Utility7.5
Mechanics6.6
Opening Duels4.7
Win Impact4.4

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time488ms+6ms
first ⅓ avg 483ms → last ⅓ avg 488ms
Headshot accuracy14.0%+0.1%
first ⅓ avg 14.0% → last ⅓ avg 14.0%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.17Best match rating · 13–4 · inferno, 15 Oct →
28%Best headshot accuracy · 13–5 · nuke, 8 Sept →
344msFastest reaction time · 13–3 · inferno, 8 Sept →
13–1Biggest win · nuke, 6 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–6In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 55% over 29anubisWeakest map · 29% over 24
MapGradePlayedRecordWin rateAvg rating
nukeB3216–1650%0.01
infernoA2916–1355%0.02
anubisD247–1729%0.00
ancientC73–443%-0.02
cache—41–325%-0.02
dust2—32–167%0.01
overpass—10–10%-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 24). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

79,972Lifetime kills
0.96K/D
3,811Matches
39.8%Match win rate
37.5%Headshot %
12.9%Shot accuracy
7,799MVPs
2,594Hours (in match)
3,708Bombs planted
920Bombs defused

Most-used weapons

AK-4727,406
AWP9,538
SG 5532,845
FAMAS1,846
P2501,739

Lifetime map wins

7,718inferno
6,320nuke
3,198dust2
1,682train
669vertigo
105office
101italy
32cbble

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

788Matches
52%Win rate
1.10Avg K/D
84.6ADR
38%Headshot %

Clutches & streaks

36%1v1 clutch win
21%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Nuke18257%1.1216.5
Anubis18147%1.1216.4
Inferno17655%1.1116.9
Overpass6151%1.1017.5
Ancient2129%0.8212.8
Dust21520%0.9215.3
Mirage1338%0.8614.7
Cache825%1.0014.9

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.1%Headshot accuracy
38.6%Accuracy (enemy spotted)
40.0%Spray accuracy
79.6%Counter-strafing
8.2°Preaim
479msReaction time
38.8%T opening success
58.8%CT opening success
0.63Enemies flashed / flash
9.5%Flash assists
12.28HE damage / grenade
14.64Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.0937% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 38.768% — below the 40% mark we flag

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

29% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis11–130.0118%2 Nov →
anubis13–70.0112%2 Nov →
inferno8–13-0.0120%2 Nov →
nuke13–20.017%2 Nov →
anubis8–130.0310%1 Nov →
ancient13–90.0623%1 Nov →
nuke10–130.0210%1 Nov →
ancient7–130.0214%30 Oct →
nuke13–60.0118%30 Oct →
inferno22–200.0613%30 Oct →
nuke12–120.0214%30 Oct →
inferno13–160.025%30 Oct →
nuke13–7-0.0216%30 Oct →
inferno13–9-0.0319%29 Oct →
anubis4–130.0211%29 Oct →
anubis3–13-0.0417%29 Oct →
inferno7–13-0.0415%29 Oct →
dust213–80.0619%29 Oct →
anubis7–130.0310%26 Oct →
nuke13–80.0727%26 Oct →
inferno13–11-0.006%26 Oct →
anubis5–130.1014%25 Oct →
ancient2–13-0.1011%25 Oct →
inferno0–13-0.0813%18 Oct →
nuke7–13-0.0520%18 Oct →
inferno19–150.0116%16 Oct →
inferno13–100.0010%16 Oct →
anubis7–13-0.018%16 Oct →
nuke13–30.0413%16 Oct →
nuke13–80.0514%16 Oct →
anubis8–13-0.007%15 Oct →
inferno16–120.0420%15 Oct →
anubis2–13-0.0713%15 Oct →
inferno13–40.1719%15 Oct →
nuke13–90.039%15 Oct →
nuke13–16-0.0120%14 Oct →
anubis13–50.0216%14 Oct →
inferno9–13-0.0011%14 Oct →
inferno9–13-0.0214%13 Oct →
nuke6–130.0021%13 Oct →
anubis14–16-0.0515%13 Oct →
inferno13–80.0524%13 Oct →
nuke13–80.109%13 Oct →
nuke13–9-0.0017%11 Oct →
nuke16–140.0513%11 Oct →
inferno13–90.0218%10 Oct →
anubis13–80.0417%10 Oct →
inferno12–160.0813%10 Oct →
inferno9–130.0323%10 Oct →
anubis4–13-0.0211%10 Oct →
nuke13–50.0314%9 Oct →
anubis11–13-0.017%9 Oct →
inferno13–100.047%9 Oct →
nuke4–13-0.029%6 Oct →
inferno11–13-0.017%4 Oct →
ancient5–13-0.0410%4 Oct →
nuke8–130.0219%1 Oct →
nuke11–13-0.0110%29 Sept →
cache14–16-0.0118%29 Sept →
inferno13–100.036%29 Sept →
nuke13–70.0313%23 Sept →
anubis13–70.0810%22 Sept →
nuke5–13-0.0012%22 Sept →
anubis13–110.0313%21 Sept →
anubis10–130.039%21 Sept →
anubis4–13-0.0118%20 Sept →
nuke7–13-0.0214%18 Sept →
inferno9–130.0516%18 Sept →
anubis16–13-0.028%17 Sept →
inferno13–80.056%17 Sept →
nuke5–13-0.0210%17 Sept →
ancient13–11-0.0414%14 Sept →
inferno4–13-0.0211%9 Sept →
dust22–13-0.0721%9 Sept →
nuke10–13-0.057%8 Sept →
anubis13–110.0211%8 Sept →
inferno13–70.0316%8 Sept →
nuke5–13-0.0512%8 Sept →
nuke13–50.0128%8 Sept →
inferno13–30.0813%8 Sept →
anubis8–13-0.074%8 Sept →
anubis5–13-0.0717%6 Sept →
ancient5–13-0.028%6 Sept →
inferno7–13-0.0115%2 Sept →
inferno13–110.0017%2 Sept →
nuke12–160.0114%2 Sept →
anubis9–13-0.0219%31 Aug →
cache3–13-0.0616%30 Aug →
nuke10–130.0618%30 Aug →
nuke22–200.0112%30 Aug →
inferno5–130.0217%6 Aug →
cache13–70.0115%6 Aug →
nuke13–16-0.0415%6 Aug →
cache5–13-0.048%7 Jul →
dust213–30.0321%7 Jul →
nuke13–80.0418%6 Jul →
nuke13–10.1210%6 Jul →
ancient13–7-0.0219%6 Jul →
overpass10–13-0.0515%22 Jun →
inferno13–110.0610%22 Jun →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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